aspect

aspect — CS2 Stats

US76561198424505902[U:1:464240174]Steam profile ↗✓ No bans

1,073Tracked matches50%Win rate2020Tracked since
CSDB Rating5.3 DevelopingPositional Player
FaceitLevel 5Top 67.6% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 2 Sep 2026 (46 days ago). Ranks are recorded once per day this page is viewed.

+3Tracked matches · now 1,073
+6.0ppWin rate · 44.0% → 50.0%

Rating over time

Premier CS Rating: 15,582 -441 16 May – 24 May · 3 days played
15,58216,023peak 16,02316 May24 May
16,023Peak Premier in tracked matches
35Days played since 2026-02-19

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

Share this profile

CSDB.GGaspectFACEITLevel 5STANDINGTop 67.6% of rankedcsdb.gg/stats

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Performance scores

Aim67
Positioning48
Utility44

0–100 skill scores via Leetify.

Recent form

COLD37–51–12Last 10037%Win rateWTWTWLTLLL

Last 10 vs previous 10: −50pp win rate · +0.01 avg rating · +1.4pp headshot accuracy · −33ms reaction

Win rate down 50pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (+0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 3–0–2 · 60% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 16%
  • Avg reaction 513ms

Last 10

  • 3–4–3 · 30% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 20%
  • Avg reaction 541ms

Last 20

  • 11–6–3 · 55% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 19%
  • Avg reaction 557ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional Player — Positioning stands above the rest of this profile (+2 against its own average).

Aim6.7
Utility4.4
Positioning4.8
Opening Duels2.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Reaction time. 577ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim6.7
Positioning4.8
Utility4.4
Mechanics7.2
Opening Duels0.9
Win Impact5.0

Composite 5.3/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time567ms−42ms
first ⅓ avg 609ms → last ⅓ avg 567ms
Headshot accuracy18.4%−5.4%
first ⅓ avg 23.8% → last ⅓ avg 18.4%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Personal bests

0.14Best match rating · 9–3 · inferno, 11 May →
53%Best headshot accuracy · 13–5 · cache, 1 May →
234msFastest reaction time · 3–13 · office, 12 May →
13–2Biggest win · ancient, 21 Jul →

Across the last 100 tracked matches.

Highlights

8Longest win streak
4–7In matches decided by ≤2 rounds
2Overtime games

Map breakdown

vertigoBest map · 67% over 6cacheWeakest map · 29% over 28
MapGradePlayedRecordWin rateAvg rating
cacheD288–2029%-0.03
nukeB136–746%-0.02
infernoC135–838%-0.02
ancientC114–736%-0.03
mirageC73–443%-0.06
anubisC73–443%-0.04
vertigoS64–267%-0.04
trainA53–260%-0.04
overpass—41–325%-0.02
dust2—30–30%-0.10
office—20–20%-0.13
sanctum—10–10%-0.19

Across the last 100 tracked matches.

Faceit stats

Combat

356Matches
52%Win rate
0.95Avg K/D
65.9ADR
38%Headshot %

Clutches & streaks

17%1v1 clutch win
12%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLLL

MapMatchesWin rateAvg K/DAvg kills
Ancient875%0.8613.1
Anubis729%0.8518.9
Inferno6100%1.3615.7
Nuke650%0.9212.5
Cache450%1.3111.8
Mirage475%0.9415.3
Overpass250%0.7615.0
Vertigo10%1.0017.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

18.9%Headshot accuracy
34.6%Accuracy (enemy spotted)
36.0%Spray accuracy
82.3%Counter-strafing
11.7°Preaim
577msReaction time
25.0%T opening success
37.0%CT opening success
0.52Enemies flashed / flash
4.4%Flash assists
5.05HE damage / grenade
9.28Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 25.0104% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

29% win rate across 28 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy →

Recent matches

MapScoreRatingHS%Date
nuke13–40.0223%6 Oct →
vertigo12–120.0124%18 Sept →
inferno13–80.0616%18 Sept →
cache12–120.0316%20 Aug →
vertigo13–8-0.070%19 Aug →
ancient10–13-0.1227%14 Aug →
inferno12–12-0.0314%14 Aug →
mirage2–13-0.0326%14 Aug →
cache7–13-0.0527%14 Aug →
ancient11–13-0.0427%29 Jul →
nuke3–13-0.1124%29 Jul →
mirage13–7-0.0610%29 Jul →
nuke13–8-0.0711%22 Jul →
anubis13–11-0.0222%22 Jul →
anubis22–19-0.0115%21 Jul →
ancient13–9-0.0518%21 Jul →
ancient13–20.0119%21 Jul →
nuke13–30.0416%21 Jul →
mirage13–10-0.0226%21 Jul →
nuke10–13-0.0327%17 Jul →
inferno6–9-0.016%7 Jun →
inferno5–9-0.1329%7 Jun →
vertigo3–13-0.0921%25 May →
inferno6–13-0.0711%24 May →
cache12–12-0.0515%24 May →
inferno8–130.0219%24 May →
nuke13–11-0.0436%24 May →
mirage10–13-0.1016%23 May →
ancient9–13-0.0416%23 May →
anubis7–13-0.0521%23 May →
train12–12-0.0411%17 May →
cache12–12-0.0315%17 May →
cache2–13-0.090%16 May →
cache5–13-0.0924%16 May →
nuke13–80.0429%16 May →
inferno13–6-0.0527%16 May →
mirage13–80.0120%16 May →
nuke13–50.0418%16 May →
cache9–13-0.060%15 May →
nuke10–130.0127%15 May →
vertigo13–3-0.0429%15 May →
ancient25–21-0.0414%15 May →
cache11–130.0113%12 May →
office3–13-0.140%12 May →
sanctum2–9-0.1933%11 May →
vertigo9–60.0429%11 May →
nuke3–9-0.1925%11 May →
overpass8–80.0122%11 May →
inferno9–30.1418%11 May →
cache13–6-0.0332%11 May →
cache13–50.0234%11 May →
cache6–13-0.0936%11 May →
cache11–13-0.0513%11 May →
inferno13–9-0.0316%10 May →
anubis10–130.0019%10 May →
cache11–13-0.0719%9 May →
train13–11-0.0216%9 May →
mirage12–12-0.1113%8 May →
cache13–7-0.0317%8 May →
train13–9-0.0735%7 May →
nuke12–12-0.0010%7 May →
cache6–13-0.0433%7 May →
anubis10–13-0.1018%6 May →
train12–120.0016%2 May →
ancient9–130.0336%2 May →
inferno13–8-0.0437%2 May →
cache9–13-0.0518%2 May →
cache12–120.0728%2 May →
cache6–130.0326%1 May →
cache13–5-0.0253%1 May →
cache13–90.0026%30 Apr →
cache13–10-0.0428%29 Apr →
cache5–13-0.0527%29 Apr →
cache8–13-0.106%29 Apr →
cache6–13-0.0320%29 Apr →
cache13–8-0.0225%29 Apr →
cache6–13-0.0717%29 Apr →
cache7–130.0741%28 Apr →
cache13–110.0024%28 Apr →
dust27–13-0.1013%25 Apr →
overpass7–13-0.0419%25 Apr →
ancient10–13-0.0922%25 Apr →
vertigo13–8-0.0710%25 Apr →
overpass13–4-0.0331%25 Apr →
office3–13-0.1233%22 Apr →
train13–8-0.0920%22 Apr →
nuke7–13-0.0224%22 Apr →
ancient13–40.0310%12 Mar →
overpass7–13-0.0322%12 Mar →
inferno9–13-0.0428%12 Mar →
inferno7–13-0.0215%11 Mar →
dust25–13-0.0739%11 Mar →
nuke11–13-0.0126%21 Feb →
ancient12–12-0.0328%21 Feb →
anubis11–13-0.0218%21 Feb →
mirage11–13-0.0723%20 Feb →
dust22–13-0.1113%20 Feb →
ancient7–13-0.0424%20 Feb →
anubis13–9-0.0611%19 Feb →
inferno4–13-0.0338%19 Feb →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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